Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/67304
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dc.contributor.authorRao, Saumya-
dc.contributor.authorParikh, Hardik H-
dc.date.accessioned2026-02-26T09:32:32Z-
dc.date.available2026-02-26T09:32:32Z-
dc.date.issued2026-02-
dc.identifier.issnISSN: 0975-1076 (Online) ;ISSN: 0971-7544 (Print)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/67304-
dc.description278-288en_US
dc.description.abstractSouth Asia‘s rich dance traditions, encompassing both classical and contemporary forms, are vital to its cultural identity and creative economy. As technology integrates into artistic domains, artificial intelligence (AI) presents transformative opportunities for the region. This paper explores how AI can be employed in dance notation the systematic recording of dance movements and in detecting copyright infringement, emphasizing its potential to support cultural entrepreneurship. By addressing the challenges of documentation, preservation, and intellectual property protection, AI can catalyze a sustainable and inclusive creative economy in South Asia. Specific emphasis is placed on the SAARC countries, highlighting the role of AI in preserving and promoting the country‘s diverse dance heritage.en_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR,Indiaen_US
dc.sourceJIPR Vol.31(2) [March 2026]en_US
dc.subjectCopyrighten_US
dc.subjectSAARCen_US
dc.subjectChoreographyen_US
dc.subjectCreative Economyen_US
dc.subjectCultural Heritageen_US
dc.titleUsing AI in Dance Notation and Copyright Infringement Prevention: Enhancing Creative Economy and Cultural Entrepreneurship in South Asiaen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/jipr.v31i2.20501en_US
Appears in Collections:JIPR Vol.31(2) [March 2026]

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